Kazuhiro Terao

17 papers Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	End-to-end Differentiable Calibration and Reconstruction for Optical Particle Detectors. CoRR Omar Alterkait, César Jesús-Valls, Ryo Matsumoto, Patrick de Perio, Kazuhiro Terao
2025	J	`jnl`	Panda: Self-distillation of Reusable Sensor-level Representations for High Energy Physics. CoRR Samuel Young, Kazuhiro Terao
2025	J	`jnl`	Particle Trajectory Representation Learning with Masked Point Modeling. CoRR Sam Young, Yeon-jae Jwa, Kazuhiro Terao
2024	J	`jnl`	Differentiable simulation of a liquid argon time projection chamber. Mach. Learn. Sci. Technol. Sean Gasiorowski, Yifan Chen, Youssef S. G. Nashed, Pierre Granger, Camelia Mironov, Ka Vang Tsang, Daniel Ratner, Kazuhiro Terao
2022	—	`book`	Artificial Intelligence for High Energy Physics Paolo Calafiura, David Rousseau, Kazuhiro Terao
2022	J	`jnl`	Data Science and Machine Learning in Education. CoRR Gabriele Benelli, Thomas Y. Chen, Javier M. Duarte, Matthew Feickert, Matthew J. Graham, Lindsey Gray, Dan Hackett, Philip C. Harris, Shih-Chieh Hsu, Gregor Kasieczka, Elham E Khoda, Matthias Komm, Mia Liu, Mark S. Neubauer, Scarlet Norberg, Alexx Perloff, Marcel Rieger, Claire Savard, Kazuhiro Terao, Savannah Thais, Avik Roy, Jean-Roch Vlimant, Grigorios Chachamis
2022	J	`jnl`	Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges. CoRR Savannah Thais, Paolo Calafiura, Grigorios Chachamis, Gage DeZoort, Javier M. Duarte, Sanmay Ganguly, Michael Kagan, Daniel Murnane, Mark S. Neubauer, Kazuhiro Terao
2022	J	`jnl`	Implicit Neural Representation as a Differentiable Surrogate for Photon Propagation in a Monolithic Neutrino Detector. CoRR Minjie Lei, Ka Vang Tsang, Sean Gasiorowski, Chuan Li, Youssef S. G. Nashed, Gianluca Petrillo, Olivia Piazza, Daniel Ratner, Kazuhiro Terao
2022	J	`jnl`	Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning. CoRR Phiala E. Shanahan, Kazuhiro Terao, Daniel Whiteson
2021	J	`jnl`	Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors. CoRR François Drielsma, Kazuhiro Terao, Laura Dominé, Dae Heun Koh
2020	J	`jnl`	Clustering of Electromagnetic Showers and Particle Interactions with Graph Neural Networks in Liquid Argon Time Projection Chambers Data. CoRR François Drielsma, Qing Lin, Pierre Côte de Soux, Laura Dominé, Ran Itay, Dae Heun Koh, Bradley J. Nelson, Kazuhiro Terao, Ka Vang Tsang, Tracy L. Usher
2020	J	`jnl`	PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics. CoRR Corey Adams, Kazuhiro Terao, Taritree Wongjirad
2020	J	`jnl`	Point Proposal Network for Reconstructing 3D Particle Positions with Sub-Pixel Precision in Liquid Argon Time Projection Chambers. CoRR Laura Dominé, Kazuhiro Terao
2020	J	`jnl`	Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers. CoRR Dae Heun Koh, Pierre Côte de Soux, Laura Dominé, François Drielsma, Ran Itay, Qing Lin, Kazuhiro Terao, Ka Vang Tsang, Tracy L. Usher
2020	J	`jnl`	Track Seeding and Labelling with Embedded-space Graph Neural Networks. CoRR Nicholas Choma, Daniel Murnane, Xiangyang Ju, Paolo Calafiura, Sean Conlon, Steven Farrell, Prabhat, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Panagiotis Spentzouris, Jean-Roch Vlimant, Maria Spiropulu, Adam Aurisano, Jeremy Hewes, Aristeidis Tsaris, Kazuhiro Terao, Tracy L. Usher
2019	J	`jnl`	Scalable Deep Convolutional Neural Networks for Sparse, Locally Dense Liquid Argon Time Projection Chamber Data. CoRR Laura Dominé, Kazuhiro Terao
2018	J	`jnl`	Machine learning at the energy and intensity frontiers of particle physics. Nat. Alexander Radovic, Mike Williams, David Rousseau, Michael Kagan, Daniele Bonacorsi, Alexander Himmel, Adam Aurisano, Kazuhiro Terao, Taritree Wongjirad